prompt optimization

Architect

Jun 7, 2025 · Artificial Intelligence

Mass Framework: Boosting Multi‑Agent Design with Smarter Prompts & Topologies

The Mass framework, developed by Google and Cambridge University, automates multi‑agent system design by jointly optimizing prompts and topologies through three staged processes, demonstrating significant performance gains over existing methods across various tasks while highlighting the importance of coordinated prompt‑topology optimization.

AI researchMass frameworkmulti-agent systems

0 likes · 6 min read

Mass Framework: Boosting Multi‑Agent Design with Smarter Prompts & Topologies

DaTaobao Tech

Feb 28, 2025 · Artificial Intelligence

AIGC Content Analysis Agent for E‑commerce

We introduce an AIGC‑driven content analysis agent for Taobao that automatically builds a fine‑grained feature taxonomy, multimodally labels images, videos and text, mines causal quality features, and deploys auto‑prompt, memory and LoRA‑based training pipelines, achieving over 90% labeling accuracy, 80% labor savings and double‑digit CTR gains while cutting video generation cost to 25% of GPT‑4o.

AIGCMultimodal AIcontent analysis

0 likes · 18 min read

AIGC Content Analysis Agent for E‑commerce